Principles of Artificial IntelligenceA classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study. |
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... consider the fact expression { P ( x , y ) ▽ [ Q ( x , A ) ^ R ( B , y ) ] } . The AND / OR graph representation for this fact is shown in Figure 6.5 . Now , if we apply the rule : P ( A , B ) ⇒ [ S ( A ) ▽ X ( B ) ] to this AND / OR ...
... considers one of them , say , ON ( C , B ) , and adds stack ( C , B ) to the goal stack . ( If ABSTRIPS had selected ... consider some of the details . We can effectively pass down the higher level solution by beginning the process at ...
... consider a frequently occurring special use : when an implication asserts properties about every member of a given set . Consider , for example , the sentence " All computer science students have graduate standing . " From this ...
Contents
PROLOGUE | 1 |
PRODUCTION SYSTEMS AND AI | 17 |
SEARCH STRATEGIES FOR | 53 |
Copyright | |
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